Recommendation of text tags in social applications using linked data

Abstract

We present a recommender system that suggests geo-located text tags by using linguistic information extracted from Linked Data sets available on the Web. The recommender system performs tag matching by measuring the semantic similarity of natural language texts. Our approach evaluates similarity using a technique that compares sentences taking into account their grammatical structure. © Springer International Publishing 2013.